Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China)

BACKGROUND: Plant diversity in the Arctic and at high altitudes strongly depends on and rebounds to climatic and environmental variability and is nowadays tremendously impacted by recent climate warming. Therefore, past changes in plant diversity in the high Arctic and high-altitude regions are used...

Full description

Bibliographic Details
Published in:Biodiversity Data Journal
Main Authors: Stoof-Leichsenring, Kathleen Rosmarie, Liu, Sisi, Jia, Weihan, Li, Kai, Pestryakova, Luidmila A., Mischke, Steffen, Cao, Xianyong, Liu, Xingqi, Ni, Jian, Neuhaus, Stefan, Herzschuh, Ulrike
Format: Text
Language:English
Published: Pensoft Publishers 2020
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752886/
https://doi.org/10.3897/BDJ.8.e57089
id ftpubmed:oai:pubmedcentral.nih.gov:7752886
record_format openpolar
spelling ftpubmed:oai:pubmedcentral.nih.gov:7752886 2023-05-15T15:02:13+02:00 Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China) Stoof-Leichsenring, Kathleen Rosmarie Liu, Sisi Jia, Weihan Li, Kai Pestryakova, Luidmila A. Mischke, Steffen Cao, Xianyong Liu, Xingqi Ni, Jian Neuhaus, Stefan Herzschuh, Ulrike 2020-12-14 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752886/ https://doi.org/10.3897/BDJ.8.e57089 en eng Pensoft Publishers http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752886/ http://dx.doi.org/10.3897/BDJ.8.e57089 Kathleen Rosmarie Stoof-Leichsenring, Sisi Liu, Weihan Jia, Kai Li, Luidmila A. Pestryakova, Steffen Mischke, Xianyong Cao, Xingqi Liu, Jian Ni, Stefan Neuhaus, Ulrike Herzschuh http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Biodivers Data J Data Paper (Biosciences) Text 2020 ftpubmed https://doi.org/10.3897/BDJ.8.e57089 2020-12-27T01:40:03Z BACKGROUND: Plant diversity in the Arctic and at high altitudes strongly depends on and rebounds to climatic and environmental variability and is nowadays tremendously impacted by recent climate warming. Therefore, past changes in plant diversity in the high Arctic and high-altitude regions are used to infer climatic and environmental changes through time and allow future predictions. Sedimentary DNA (sedDNA) is an established proxy for the detection of local plant diversity in lake sediments, but still relationships between environmental conditions and preservation of the plant sedDNA proxy are far from being fully understood. Studying modern relationships between environmental conditions and plant sedDNA will improve our understanding under which conditions sedDNA is well-preserved helping to a.) evaluate suitable localities for sedDNA approaches, b.) provide analogues for preservation conditions and c.) conduct reconstruction of plant diversity and climate change. This study investigates modern plant diversity applying a plant-specific metabarcoding approach on sedimentary DNA of surface sediment samples from 262 lake localities covering a large geographical, climatic and ecological gradient. Latitude ranges between 25°N and 73°N and longitude between 81°E and 161°E, including lowland lakes and elevated lakes up to 5168 m a.s.l. Further, our sampling localities cover a climatic gradient ranging in mean annual temperature between -15°C and +18°C and in mean annual precipitation between 36­ and 935 mm. The localities in Siberia span over a large vegetational gradient including tundra, open woodland and boreal forest. Lake localities in China include alpine meadow, shrub, forest and steppe and also cultivated areas. The assessment of plant diversity in the underlying dataset was conducted by a specific plant metabarcoding approach. NEW INFORMATION: We provide a large dataset of genetic plant diversity retrieved from surface sedimentary DNA from lakes in Siberia and China spanning over a large environmental ... Text Arctic Climate change Tundra Siberia PubMed Central (PMC) Arctic Biodiversity Data Journal 8
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Data Paper (Biosciences)
spellingShingle Data Paper (Biosciences)
Stoof-Leichsenring, Kathleen Rosmarie
Liu, Sisi
Jia, Weihan
Li, Kai
Pestryakova, Luidmila A.
Mischke, Steffen
Cao, Xianyong
Liu, Xingqi
Ni, Jian
Neuhaus, Stefan
Herzschuh, Ulrike
Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China)
topic_facet Data Paper (Biosciences)
description BACKGROUND: Plant diversity in the Arctic and at high altitudes strongly depends on and rebounds to climatic and environmental variability and is nowadays tremendously impacted by recent climate warming. Therefore, past changes in plant diversity in the high Arctic and high-altitude regions are used to infer climatic and environmental changes through time and allow future predictions. Sedimentary DNA (sedDNA) is an established proxy for the detection of local plant diversity in lake sediments, but still relationships between environmental conditions and preservation of the plant sedDNA proxy are far from being fully understood. Studying modern relationships between environmental conditions and plant sedDNA will improve our understanding under which conditions sedDNA is well-preserved helping to a.) evaluate suitable localities for sedDNA approaches, b.) provide analogues for preservation conditions and c.) conduct reconstruction of plant diversity and climate change. This study investigates modern plant diversity applying a plant-specific metabarcoding approach on sedimentary DNA of surface sediment samples from 262 lake localities covering a large geographical, climatic and ecological gradient. Latitude ranges between 25°N and 73°N and longitude between 81°E and 161°E, including lowland lakes and elevated lakes up to 5168 m a.s.l. Further, our sampling localities cover a climatic gradient ranging in mean annual temperature between -15°C and +18°C and in mean annual precipitation between 36­ and 935 mm. The localities in Siberia span over a large vegetational gradient including tundra, open woodland and boreal forest. Lake localities in China include alpine meadow, shrub, forest and steppe and also cultivated areas. The assessment of plant diversity in the underlying dataset was conducted by a specific plant metabarcoding approach. NEW INFORMATION: We provide a large dataset of genetic plant diversity retrieved from surface sedimentary DNA from lakes in Siberia and China spanning over a large environmental ...
format Text
author Stoof-Leichsenring, Kathleen Rosmarie
Liu, Sisi
Jia, Weihan
Li, Kai
Pestryakova, Luidmila A.
Mischke, Steffen
Cao, Xianyong
Liu, Xingqi
Ni, Jian
Neuhaus, Stefan
Herzschuh, Ulrike
author_facet Stoof-Leichsenring, Kathleen Rosmarie
Liu, Sisi
Jia, Weihan
Li, Kai
Pestryakova, Luidmila A.
Mischke, Steffen
Cao, Xianyong
Liu, Xingqi
Ni, Jian
Neuhaus, Stefan
Herzschuh, Ulrike
author_sort Stoof-Leichsenring, Kathleen Rosmarie
title Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China)
title_short Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China)
title_full Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China)
title_fullStr Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China)
title_full_unstemmed Plant diversity in sedimentary DNA obtained from high-latitude (Siberia) and high-elevation lakes (China)
title_sort plant diversity in sedimentary dna obtained from high-latitude (siberia) and high-elevation lakes (china)
publisher Pensoft Publishers
publishDate 2020
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752886/
https://doi.org/10.3897/BDJ.8.e57089
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Tundra
Siberia
genre_facet Arctic
Climate change
Tundra
Siberia
op_source Biodivers Data J
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752886/
http://dx.doi.org/10.3897/BDJ.8.e57089
op_rights Kathleen Rosmarie Stoof-Leichsenring, Sisi Liu, Weihan Jia, Kai Li, Luidmila A. Pestryakova, Steffen Mischke, Xianyong Cao, Xingqi Liu, Jian Ni, Stefan Neuhaus, Ulrike Herzschuh
http://creativecommons.org/licenses/by/4.0/
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.3897/BDJ.8.e57089
container_title Biodiversity Data Journal
container_volume 8
_version_ 1766334194311495680